- From: Viviana Patti <patti@di.unito.it>
- Date: Tue, 14 Jan 2014 15:03:04 +0100
- To: semantic-web@w3.org
[Apologies for multiple postings] INFORMATION PROCESSING & MANAGEMENT Special Issue on Emotion and Sentiment in Social and Expressive Media AIMS AND SCOPE Although sentiment analysis and emotion detection have been trending topics since a while, not enough emphasis has been placed so far on social and expressive media. The latter, in particular, play a key role in applicative fields related to creativity, its expressions and outcomes, such as figurative arts, music or drama. In such fields, the advent of digital social media has brought about new paradigms of interactions that foster first-person engagement and crowdsourcing content creation: the subjective and expressive dimensions move to the foreground, opening the way to the emergence of an affective component within a dynamic corpus of contents - created or enriched by users. Social and expressive media generate -in a continuous loop of interaction between online environments and the community of users- a corpus of digitized contents (e.g. text, images, sounds). New contents are added to the Web by its users every day, in an orthogonal way with respect to the new/old media distinction, with new formats relying on traditional media like text (fan generated fictions, tweets, reviews) and established expressive forms being delivered through new media (amateur video clips, podcasts, pictures). This calls for delving into the evolution of approaches, techniques and tools for automatic processing, indexing and retrieval of the affective and subjective information conveyed by those media. In order to bring advancements in automatic processing of such information, a key role can be played by cognitive models of emotions. Suitable affective and emotional models, which underlie the expressive aims of those media, need to be defined and integrated into traditional techniques of analysis and information processing. Generation and manipulation of produced contents (for distribution, categorization, browsing, visualization etc.) need to encompass a model of their affective qualities (and of their reception by the users), especially when the practical goal of assembling and delivering to the users contents in a personalized way is pursued. Moreover, the focus on multimedia contents asks for the development of new techniques of automatic extraction and classification of affective information where both textual and extra-linguistic features can be exploited. Affective-based visualization techniques may also support the development of novel tools for the analysis and exploration of multimedia information. We invite high-quality submissions that address the topic of Emotion and Sentiment in Social and Expressive Media under different perspectives. We encourage the submission of papers from related areas, such as natural language processing, information retrieval, semantic web, affective computing, and interactive multimodal systems. The multidisciplinary approach will extend the possibility of cross-validation. We especially welcome papers facing the following challenges: - detecting emotion and sentiment in social media and in fields related to creativity, its expressions and its outcomes (e.g. figurative arts, music, drama); - automatic processing, indexing and retrieval of the affective information in social and expressive media based on structured knowledge of affective information, e.g. affective categorization models expressed by ontologies, better still if psychologically motivated; - visualization of emotion and sentiment in social and expressive media in order to enhance navigation and access to information and multimedia contents; - fostering the interoperability and integration of tools by encouraging compliance with emerging standards, which enable semantic metadata processing. TOPICS OF INTEREST - sentiment-based indexing, search and retrieval in social & expressive media - subjectivity, sentiment and emotion detection in social & expressive media - social & expressive media corpora and annotations - creative language (humor, irony, metaphor, etc.) in social & expressive media - concept-level sentiment analysis - sentiment and emotion summarization & visualization - emotion modeling and ontologies - emotions in multimedia and multimodal systems - emotions in sounds and music computing - emotions in interactive entertainment - emotions in storytelling - emotions in cultural heritage access - semantic web technologies for subjectivity & sentiment analysis - knowledge representation and reasoning about emotions IMPORTANT DATES Submission Deadline: 30th April 2014 First Review: 31st July 2014 Revisions Due: 31st October 2014 Final Decision: 31st January 2015 Final Manuscript Due: 31st March 2015 Tentative Publication Date: 2015 GUEST EDITORS Paolo Rosso, Universitat Politècnica de València, Spain Cristina Bosco, Università degli Studi di Torino, Italy Erik Cambria, National University of Singapore, Singapore Rossana Damiano, Università degli Studi di Torino, Italy Viviana Patti, Università degli Studi di Torino, Italy SUBMISSION FORMAT Author guidelines for preparation of manuscript can be found at: http://www.elsevier.com/journals/information-processing-and-management/0306-4573/guide-for-authors For more information, please contact: Paolo Rosso (prosso@dsic.upv.es). SUBMISSION GUIDELINES Contributions should be submitted via the journal online submission system available through the journal homepage (not earlier than 15th March 2014), selecting SI:ESSEM when at the Article Type step in the submission process: http://ees.elsevier.com/ipm/login_action.asp
Received on Tuesday, 14 January 2014 14:03:41 UTC